Developing A Chatbot For Medical Consultation
DOI:
https://doi.org/10.64252/1tt73h52Keywords:
Deep Learning, traditional challenges, learning technology, chatbotAbstract
Chatbots strive to comprehend user input, evaluate it, and try to respond appropriately. While some chatbots aim to be indistinguishable from people, others try to differentiate themselves by possessing superhuman knowledge or characteristics. Some chatbots employ more sophisticated methods, such as natural language processing, while others just search for keywords, phrases, and patterns that have been encoded into their knowledge base. With the exception of ongoing study in this area, no chatbot has yet to convince users that it is one of them by using its understanding of natural language and interaction style.Numerous studies are being conducted to enhance conversational capabilities so that chatbots can speak more naturally and logically. Given that individuals are more forthcoming these days and express their emotions in this way, learning about people's thoughts and emotions will be extremely important from a commercial standpoint. Using social media platforms to analyze client comments and sentiments is fundamental. Since individuals today are more willing to share their opinions than they were in the past, it will be more beneficial for the company to interpret people's feelings.Brands may better understand their customers' expectations and develop products that meet their needs by observing and comprehending customer feedback on social media and their answers.